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ALT
2007
Springer
16 years 3 months ago
Learning Kernel Perceptrons on Noisy Data Using Random Projections
In this paper, we address the issue of learning nonlinearly separable concepts with a kernel classifier in the situation where the data at hand are altered by a uniform classific...
Guillaume Stempfel, Liva Ralaivola
EGC
2005
Springer
16 years 5 days ago
GLIDE: A Grid-Based Light-Weight Infrastructure for Data-Intensive Environments
Abstract. The promise of the grid is that it will enable public access and sharing of immense amounts of computational and data resources among dynamic coalitions of individuals an...
Chris Mattmann, Sam Malek, Nels Beckman, Marija Mi...
HPCA
1998
IEEE
15 years 11 months ago
The Potential for Using Thread-Level Data Speculation to Facilitate Automatic Parallelization
As we look to the future, and the prospect of a billion transistors on a chip, it seems inevitable that microprocessors will exploit having multiple parallel threads. To achieve t...
J. Gregory Steffan, Todd C. Mowry
CLOUDCOM
2010
Springer
15 years 4 months ago
Evaluation of MapReduce for Gridding LIDAR Data
-- The MapReduce programming model, introduced by Google, has become popular over the past few years as a mechanism for processing large amounts of data, using sharednothing parall...
Sriram Krishnan, Chaitanya K. Baru, Christopher J....
PPOPP
2011
ACM
14 years 9 months ago
Compact data structure and scalable algorithms for the sparse grid technique
The sparse grid discretization technique enables a compressed representation of higher-dimensional functions. In its original form, it relies heavily on recursion and complex data...
Alin Florindor Murarasu, Josef Weidendorfer, Gerri...